How many vocabulary sets are available on CoderSlingo?

There are 160+ thematic vocabulary sets covering every major IT domain from beginner Git terminology to advanced LLM architecture and FinTech protocols.

How are the vocabulary exercises structured?

Each set contains 5–7 questions mixing definition matching, fill-in-the-blank, contextual usage, and multiple-choice exercises with detailed explanations.

Technical English Vocabulary Practice — Vocabulary Exercises

Part of These Learning Guides

These vocabulary exercises are featured across all our role-specific learning guides:

⚙️ Backend Developer Guide Complete English learning path for backend engineers 🖥️ Frontend Developer Guide Complete English learning path for frontend engineers 🔧 DevOps/SRE Guide Complete English learning path for DevOps and SRE engineers 📊 Data Scientist / ML Engineer Guide Complete English learning path for data scientists and ML engineers ✅ QA Engineer Guide Complete English learning path for QA engineers 🔒 Security Engineer Guide Complete English learning path for security engineers 🗄️ Data Engineer Guide Complete English learning path for data engineers

Frequently Asked Questions

How many vocabulary sets are available?

There are 160+ thematic vocabulary sets covering every major IT domain — from beginner-level Git and Agile terminology to advanced topics like LLM architecture, Kubernetes operators, and FinTech protocols. New sets are added regularly.

What is the best vocabulary set to start with for a software developer?

Start with General IT Terms for the foundations, then move to your primary tech stack. Backend developers benefit most from Backend Development, API Design, and Database sets. Frontend developers should prioritise the CSS & Frontend and JavaScript & TypeScript sets.

How are these vocabulary exercises structured?

Each vocabulary set contains 5–7 questions mixing definition matching, fill-in-the-blank sentences, contextual usage, and multiple-choice exercises. Every answer includes a detailed explanation with related terms and real usage examples from code reviews and documentation.

What is the difference between Beginner, Intermediate, and Advanced sets?

Beginner sets focus on terms you'll encounter daily regardless of role — Git basics, Agile vocabulary, JSON/YAML. Intermediate sets cover role-specific terminology. Advanced sets tackle specialised domains like distributed systems consensus, AI safety, quantum computing, and enterprise architecture.

Can I track which vocabulary sets I've completed?

Yes. The progress banner at the top of this page shows how many sets you've completed. Your progress is saved in browser localStorage — no account needed. The banner appears automatically once you've finished your first set.

Are there vocabulary sets for non-engineering IT roles?

Yes. There are dedicated sets for Product Management, Engineering Manager, Business Analyst, Scrum Master, Freelance & Contractor, and Technical Writer roles. These focus on the communication and domain vocabulary unique to each position.

How is IT vocabulary different from general English vocabulary?

IT vocabulary includes technical acronyms (SLO, RBAC, mTLS), compound nouns (backpressure, dead letter queue), verbs used as nouns (a deploy, a merge), and collocations (push a commit, raise a ticket, spin up a container) that don't exist in general English dictionaries.

Do the vocabulary exercises include pronunciation guidance?

Some vocabulary exercises include phonetic transcriptions (IPA). For dedicated pronunciation practice — including how to say cache, nginx, kubectl, daemon, mutex, and YAML — visit the Pronunciation exercises section.

How often are new vocabulary sets added?

New vocabulary sets are added in regular batches. Recent additions include sets for AI Agents, WebAssembly runtime, eBPF, data mesh architecture, and quantum computing. Check back or watch for "New" badges on fresh sets.

Is there a vocabulary set specifically for DevOps engineers?

Yes — the DevOps & Cloud set covers CI/CD, containerisation, infrastructure-as-code, and cloud services terminology. For deeper coverage, also study the Kubernetes Deep Dive, Terraform & Infrastructure-as-Code, Observability & Monitoring, and Cloud Architecture & FinOps sets.